We are excited to announce Azure NetApp Files VS Code Extension v1.2.0, marking a significant evolution in how we approach cloud storage management. This release moves beyond assistive AI toward AI-informed infrastructure operations powered by our new Agentic Framework.
Introducing Agentic AI: The Volume Scanner
This release introduces our first agentic framework—the Volume Scanner—which doesn’t just alert you to problems, it actively generates recommended action plans and can execute approved changes with your governance.
Key capabilities include:
- Agentic scanning across all ANF volumes in your subscription to trigger comprehensive infrastructure health checks whenever needed.
- AI-powered risk detection for configuration gaps that could cause outages, including:
- Capacity risks: Usage threshold violations and approaching quota limits.
- Security vulnerabilities: Overly permissive export policies (0.0.0.0/0 exposure) and incorrect subnet restrictions (e.g., 10.0.0.0/24).
- Performance optimization: Cool access enablement opportunities for infrequently accessed data.
- One-click execution of approved changes directly to your Azure infrastructure.
Why This Matters
This release establishes the foundation for a multi-agent system designed to eliminate operational toils and make enterprise storage self-managing. The Agentic Volume Scanner demonstrates the model, and future agents will handle capacity planning, cost optimization, compliance auditing, and cross-cloud orchestration.
Why AI-Informed Operations
The Agentic Volume Scanner uses AI to analyze your infrastructure state, detect risks, and generate actionable remediation plans. You can trigger scans when needed, and the agent autonomously analyzes, recommends, and executes approved changes under your governance. This provides the intelligence of autonomous operations while maintaining control over execution timing.
This is not code generation or chat assistance. It is actionable intelligence where agents detect issues, generate remediation plans, and execute approved infrastructure changes while you maintain complete control.
Core Components
- VS Code Extension (TypeScript): Developer-facing UI, commands, and agent interaction prompts
- Agentic Framework: Orchestrates scanning, analysis, recommends plan generation, and execution flow (with approval)
- Cloud APIs (REST): Reads infrastructure state and applies approved configuration changes
- GitHub Copilot Integration: Natural language understanding and context-aware recommendations
- Generated Templates: ARM/Bicep/Terraform/PowerShell templates generated automatically for deployment
- Authentication (IAM): Secure enterprise identity and access control
Enhanced Natural Language Interface
This release significantly expands natural language capabilities to make storage management conversational.
AI-Powered Analysis and Templates
- @anf analyze this volume – Get comprehensive AI analysis with optimization recommendations
- @anf generate ARM template – Create production-ready deployment templates
- @anf what is this volume – Retrieve detailed resource information
Volume Operations
- @anf create a snapshot for this volume, @anf list all snapshots, @anf restore from snapshot, @anf delete snapshot - Snapshot management
- @anf set quota limit to 500GB, @anf configure export policy, @anf show mount target info - Configuration
- @anf monitor performance for IOPS, throughput, and latency metrics - Monitoring
Cross-Region Replication
- @anf replicate this volume to East US – Set up disaster recovery
- @anf check replication status – Monitor replication health
- @anf failover replication to secondary – Execute DR failover
- @anf resync replication – Re-establish replication after failover
Backup and Recovery
- @anf create a backup policy – Set up automated backup schedules
- @anf take a manual backup – Create immediate backups
- @anf list all backups – Show available backups and policies
- @anf restore from backup – Recover data from backups
- @anf create backup vault and @anf assign volume to backup vault – Manage backup infrastructure
What are the Benefits?
Business Benefits
- Accelerated remediation: Identify risks and move from detection → plan → approved execution in minutes
- Reduced operational friction: Standardized recommendations and approvals streamline collaboration between Dev, Ops, and IT
- Developer-first workflow: Storage operations stay inside VS Code, keeping teams in flow
Economic Benefits:
- Lower waste: Proactively prevent over-provisioning and optimize for infrequently accessed data (cool access opportunities)
- Higher efficiency at scale: Reduce repeated manual checks by detecting common risks consistently across subscriptions.
- On-demand control: Trigger scans and automation only when needed, keeping approvals and governance in place while avoiding continuous background operations.
Technical Benefits
- AI-informed risk detection: Identify capacity, security, and performance risks early
- Governed action: The agent recommends and executes only approved changes
- Template generation in preferred formats: ARM/Bicep/Terraform/PowerShell for standardized deployments
Real‑World Scenario
Meet Sarah, an engineer supporting a production application:
Classic way: She signs into the Azure portal and navigates through multiple blades to locate the volume. From there, she manually checks performance metrics, reviews export policies for potential security gaps, and inspects quota thresholds to assess capacity risks. Each insight requires switching between different screens, cross-verifying details, and documenting findings separately. This fragmented workflow often stretches beyond 20 minutes, leaving room for interruptions, inconsistent documentation, and potential misconfigurations.
New way with v1.2.0: Sarah simply triggers the Volume Scanner inside VS Code. Within seconds, the agent analyzes the volume, surfaces prioritized risks, and generates a clear remediation plan. With one approval, the recommended fix is executed automatically—no portal hopping, no context switching, and no manual verification.
Result: Significantly faster resolution, fewer outages caused by overlooked risks, and consistently applied configurations—all completed without ever leaving the editor.
Learn more
- PostgreSQL with Azure NetApp Files– Specialized ARM template for PostgreSQL deployments.
- Microsoft Tech Community – Learn how AI accelerates cloud-native development
- Azure NetApp Files VS Code Extension: https://github.com/NetApp/anf-vscode-extension
